Redefining Robotic Intelligence. Backed by Khosla.
About the role
Own the mechatronic architecture — mechanical structure, gripper kinematics, sensor integration, and all physical subsystem interfaces Drive the full hardware lifecycle: concept → prototype → DVT → mass production; own the design decisions that make each transition possible
What they're looking for
- Track record taking mechatronic products from prototype through mass production — consumer electronics, robotics, medical devices, wearables, or comparable high-volume precision hardware
- Systems-level fluency across the full stack: mechanism design, sensor integration, DFM, tolerance analysis, supplier management, and reliability engineering
- Deep hands-on experience with DFM/DFA for molded, die-cast, and machined parts, you've owned the factory conversation, not just handed off drawings
- Proven experience integrating sensors — cameras, IMUs, encoders — into precision mechanical structures where mounting geometry and compliance directly affect measurement quality
- Experience setting up and running DVT/PVT programs: test plan definition, failure analysis, design iteration under production constraints
- Staff-level engineering judgment: you know when to iterate fast and when to lock down, and you've made that call under real program pressure
More about this role
At Rhoda AI, we’re building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models that control our robots. Our robots are designed to be generalists capable of operating in complex, real-world environments and handling long-tail edge cases, made possible by our cutting edge research and end-to-end system design. We've raised over $450M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality.
You will own the full mechatronic architecture of our data collection platform — from first prototype to mass-produced fleet hardware. This is a staff-level role with end-to-end ownership: you define the architecture, make the hard cross-subsystem tradeoffs, drive the transition from lab prototype to manufacturable product, and ensure the device performs reliably at scale across global operator sites. Motor control and firmware are owned separately; everything else is yours.
Own the mechatronic architecture — mechanical structure, gripper kinematics,...
Browse similar: AI jobs · AI startup jobs · Startup jobs · San Francisco Bay Area